Recent Advances in the Prediction of Subcellular Localization of Proteins and Related Topics

Prediction of subcellular localization of proteins from their amino acid sequences has a long history in bioinformatics and is still actively developing, incorporating the latest advances in machine learning and proteomics. Notably, deep learning-based methods for natural language processing have ma...

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Detalles Bibliográficos
Autores principales: Nakai, Kenta, Wei, Leyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Bioinformatics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9580943/
https://www.ncbi.nlm.nih.gov/pubmed/36304291
http://dx.doi.org/10.3389/fbinf.2022.910531
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author Nakai, Kenta
Wei, Leyi
author_facet Nakai, Kenta
Wei, Leyi
author_sort Nakai, Kenta
collection PubMed
description Prediction of subcellular localization of proteins from their amino acid sequences has a long history in bioinformatics and is still actively developing, incorporating the latest advances in machine learning and proteomics. Notably, deep learning-based methods for natural language processing have made great contributions. Here, we review recent advances in the field as well as its related fields, such as subcellular proteomics and the prediction/recognition of subcellular localization from image data.
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spelling pubmed-95809432022-10-26 Recent Advances in the Prediction of Subcellular Localization of Proteins and Related Topics Nakai, Kenta Wei, Leyi Front Bioinform Bioinformatics Prediction of subcellular localization of proteins from their amino acid sequences has a long history in bioinformatics and is still actively developing, incorporating the latest advances in machine learning and proteomics. Notably, deep learning-based methods for natural language processing have made great contributions. Here, we review recent advances in the field as well as its related fields, such as subcellular proteomics and the prediction/recognition of subcellular localization from image data. Frontiers Media S.A. 2022-05-19 /pmc/articles/PMC9580943/ /pubmed/36304291 http://dx.doi.org/10.3389/fbinf.2022.910531 Text en Copyright © 2022 Nakai and Wei. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Bioinformatics
Nakai, Kenta
Wei, Leyi
Recent Advances in the Prediction of Subcellular Localization of Proteins and Related Topics
title Recent Advances in the Prediction of Subcellular Localization of Proteins and Related Topics
title_full Recent Advances in the Prediction of Subcellular Localization of Proteins and Related Topics
title_fullStr Recent Advances in the Prediction of Subcellular Localization of Proteins and Related Topics
title_full_unstemmed Recent Advances in the Prediction of Subcellular Localization of Proteins and Related Topics
title_short Recent Advances in the Prediction of Subcellular Localization of Proteins and Related Topics
title_sort recent advances in the prediction of subcellular localization of proteins and related topics
topic Bioinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9580943/
https://www.ncbi.nlm.nih.gov/pubmed/36304291
http://dx.doi.org/10.3389/fbinf.2022.910531
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